Triple

T12214154
Position Surface form Disambiguated ID Type / Status
Subject Helena Zengel E291039 entity
Predicate characterPlayed P1507 FINISHED
Object Benni
Benni is the volatile, traumatized young girl at the center of the German drama film "System Crasher," portrayed by Helena Zengel.
E969135 NE FINISHED

How this triple was built (4 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Benni | Statement: [Helena Zengel, characterPlayed, Benni]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Benni
Context triple: [Helena Zengel, characterPlayed, Benni]
  • A. Bennie
    Bennie is a masculine given name, often used as a diminutive of Benjamin or Bennett.
  • B. Benny
    Benny is a common diminutive form of the given name Benedict, often used as a familiar or affectionate nickname.
  • C. Benny
    Benny is a skilled and loyal member of Tobey Marshall’s street-racing crew in the film "Need for Speed."
  • D. Benn
    Benn is a surname most prominently associated with Canadian professional ice hockey player Jamie Benn.
  • E. Brian Benben
    Brian Benben is an American actor best known for starring in the HBO series "Dream On" and the film "I Come in Peace."
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Benni
Triple: [Helena Zengel, characterPlayed, Benni]
Generated description
Benni is the volatile, traumatized young girl at the center of the German drama film "System Crasher," portrayed by Helena Zengel.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Benni
Target entity description: Benni is the volatile, traumatized young girl at the center of the German drama film "System Crasher," portrayed by Helena Zengel.
  • A. Bennie
    Bennie is a masculine given name, often used as a diminutive of Benjamin or Bennett.
  • B. Benny
    Benny is a common diminutive form of the given name Benedict, often used as a familiar or affectionate nickname.
  • C. Benny
    Benny is a skilled and loyal member of Tobey Marshall’s street-racing crew in the film "Need for Speed."
  • D. Benn
    Benn is a surname most prominently associated with Canadian professional ice hockey player Jamie Benn.
  • E. Brian Benben
    Brian Benben is an American actor best known for starring in the HBO series "Dream On" and the film "I Come in Peace."
  • F. None of above. chosen

Provenance (5 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69d6ab65923081909acfc61b7a612233 completed April 8, 2026, 7:24 p.m.
NER Named-entity recognition batch_69d91c931cec819083ca19be06a33e1c completed April 10, 2026, 3:51 p.m.
NED1 Entity disambiguation (via context triple) batch_69f60aa13f64819096dc23295a6f0cdb completed May 2, 2026, 2:30 p.m.
NEDg Description generation batch_69f60bdca250819090b4b4cc84d343f4 completed May 2, 2026, 2:36 p.m.
NED2 Entity disambiguation (via description) batch_69f60cd1668881908f43d895fcfba0aa completed May 2, 2026, 2:40 p.m.
Created at: April 8, 2026, 9:51 p.m.